Hojjatollah Shokri kaveh | Computational Materials Science | Best Researcher Award

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Dr Hojjatollah Shokri kaveh | Materials Science | Best Researcher Award

Hojjatollah Shokri Kaveh is an applied mathematician from Tehran, Iran, with a PhD in Applied Mathematics from Shahid Beheshti University. His expertise lies in data analysis, data visualization, and programming with MATLAB, Python, C, and C++. He has experience in both teaching and accounting and is passionate about applying mathematical tools to solve real-world problems.

Hojjatollah Shokri Kaveh, Shahid beheshti university, Iran

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🎓 Education

Hojjatollah Shokri Kaveh holds a PhD in Applied Mathematics from Shahid Beheshti University, where he studied. He earned his Master’s degree in Applied Mathematics from Amirkabir University of Technology. His academic journey began with a Bachelor’s degree in Applied Mathematics from Ilam University.

💼 Experience

He has accumulated diverse professional experience across both education and finance. He worked as a mathematics teacher at Ostadbank in Tehran, and later served in a similar role at Aloostad. He transitioned into a financial role, working as an accountant at Azarnan Nazari .

🛠️ Contributions

Hojjatollah Shokri Kaveh has contributed to the academic and educational fields through both teaching and research. As a mathematics teacher at Ostadbank and Aloostad, he played a key role in supporting student learning and academic achievement across a range of mathematical subjects. His background in applied mathematics, combined with practical experience in data analysis and visualization, has allowed him to approach problem-solving with both theoretical depth and real-world application. His programming skills in MATLAB, Python, and C-family languages have supported various academic projects, and his research contributes to advancing data-driven approaches in applied mathematics.

📡 Research Projects 

Hojjatollah Shokri Kaveh has been involved in research projects centered around applied mathematics with a particular focus on data analysis and data visualization. His work aims to develop mathematical models and computational techniques for interpreting complex datasets. During his PhD studies at Shahid Beheshti University, he likely undertook projects involving the application of programming tools such as MATLAB and Python to analyze real-world data and visualize results effectively. His research bridges the gap between mathematical theory and practical implementation, addressing contemporary challenges in data-driven decision-making and scientific computing.

🔬 Research Focus

His primary research interests lie in data analysis and data visualization. He is particularly engaged in exploring mathematical approaches to interpreting and presenting complex datasets in meaningful ways.

📘 Publication

Mapped regularization methods for the Cauchy problem of the Helmholtz and Laplace equations
👨‍🔬 Authors: H Shokri Kaveh, H Adibi
📘 Journal: Iranian Journal of Science and Technology, Transactions A: Science
📅 Year: 2021

Finding solution of linear systems via new forms of BiCG, BiCGstab and CGS algorithms
👨‍🔬 Authors: H Shokri Kaveh, M Hajarian, AT Chronopoulos
📘 Journal: Computational and Applied Mathematics
📅 Year: 2024

Developing variable s-step CGNE and CGNR algorithms for non-symmetric linear systems
👨‍🔬 Authors: HS Kaveh, M Hajarian, AT Chronopoulos
📘 Journal: Journal of the Franklin Institute
📅 Year: 2024

Efficient image reconstruction via regularized variable s-step conjugate gradient method for Sylvester matrix equations
👨‍🔬 Authors: HS Kaveh, M Hajarian, AT Chronopoulos
📘 Journal: Journal of the Franklin Institute
📅 Year: 2025

Variable s-step technique for Planar algorithms in solving indefinite linear systems
👨‍🔬 Authors: H Shokri Kaveh, M Hajarian, AT Chronopoulos
📘 Journal: Computational and Applied Mathematics
📅 Year: 2025

Jenin Victor Cortez Polanco | Materials Science | Best Researcher Award

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Mr. Jenin Victor Cortez Polanco | Materials Science | Best Researcher Award

Jenin Victor Cortez Polanco is a reproductive biotechnology specialist with a Ph.D. in Animal Science from the University of Sydney. He is internationally recognized for pioneering animal cloning techniques, including the first cloned calves in Peru and the development of a method for generating homozygous twin embryos. With expertise in IVF, ICSI, stem cell culture, and gamete vitrification, Jenin has contributed to major research and production projects across Australia, Colombia, and Peru.

Mr. Jenin Victor Cortez Polanco,  University of Sydney, Australia

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🎓 Education

Jenin Victor Cortez Polanco holds a Ph.D. in Animal Science from the University of Sydney, located in Camperdown, NSW. Prior to this, he earned a Master of Science in Animal Breeding from the National University Toribio Rodríguez de Mendoza in Amazonas, Peru . His foundational academic background includes a Bachelor of Science in Biology with a specialty in Biotechnology from the National University of San Cristóbal de Huamanga in Ayacucho.

💼 Experience

Jenin brings extensive international experience in the field of animal reproduction and biotechnology. He has been working at Catalina Genetics Pty Ltd in North Richmond, NSW, under the supervision of John Farren-Price. His work here focuses on advanced reproductive technologies such as ICSI and cloning, stem cell culture, and vitrification of reproductive cells and embryos. He also contributed to Genes De Colombia S.A. (Genescol) in Bucaramanga, Colombia, where he specialized in animal reproduction through IVF and cloning in cows, horses, and sheep, alongside gamete and cell vitrification. He was affiliated with Toribio Rodriguez De Mendoza University in Chachapoyas, focusing on animal reproduction research and instruction. He also held short-term research and academic roles at San Cristobal Nacional University and the National Institute of Agrarian Innovation in Ayacucho, working on animal science projects.

🛠️ Contributions

Jenin Victor Cortez Polanco has made groundbreaking contributions to the field of animal reproductive biotechnology. He played a pivotal role in developing and implementing novel cloning techniques in Latin America, particularly in Peru, where he was part of the first team to successfully produce cloned calves using embryonic bipartition. He is the creator of an innovative procedure for generating homozygous twin embryos, which has been nationally and internationally recognized, including a Gold Medal at the Geneva International Exhibition of Inventions. Jenin has also contributed significantly to the practical application of ICSI, IVF, stem cell culture, and gamete vitrification in both research and production settings. His work has bridged academic research and real-world agricultural biotechnology, advancing the use of cutting-edge reproductive technologies in livestock genetics and breeding programs.

📡 Research Projects 

Jenin Victor Cortez Polanco has led pioneering research in animal cloning, notably producing Peru’s first cloned calves via embryonic bipartition and somatic nuclear transfer using the Handmade Cloning method. He developed a patented technique for generating homozygous twin embryos, earning international recognition. His projects also include advanced work in IVF, ICSI, stem cell culture, and gamete vitrification in livestock. These initiatives have significantly advanced genetic improvement and reproductive efficiency in animal biotechnology.

🔬 Research Focus

Jenin’s research primarily centers on the advancement of reproductive technologies in animals, with a strong focus on cloning, embryonic bipartition, and stem cell applications. His scientific work aims to optimize the generation of genetically valuable animals and improve reproductive efficiency through innovative biotechnological approaches. He is especially noted for pioneering methodologies in handmade cloning and generating homozygous twins, contributing significantly to the field of animal biotechnology.

📘 Publication

Effect of Pre-IVM Duration with cAMP Modulators on the Production of Cloned Equine Embryos and Foals
👨‍🔬 Authors: Jenin Victor Cortez Polanco, Kylie Hardwicke, Carlos E. Méndez-Calderón, Christopher Grupen
📘 Journal: Animals
📅 Year: 2025

Lynn Fainsilber Katz | Material Science | Best Researcher Award-2385

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Prof. Dr. Lynn Fainsilber Katz | Material Science | Best Researcher Award 

Dr. Lynn Fainsilber Katz is a Research Professor of Psychology at the University of Washington, specializing in child clinical and developmental psychology. She serves as Associate Director of the Center for Child and Family Well-Being and directs the MA program in Applied Child and Adolescent Psychology. Her research focuses on emotion regulation, parenting interventions, child behavior disorders, and the effects of family conflict and trauma. With over three decades of experience, she integrates research, teaching, and clinical practice to improve child and family mental health.

Prof. Lynn Fainsilber Katz ,  University of Washington, United States

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🎓 Education

Dr. Lynn Fainsilber Katz holds a Ph.D. in Psychology from the University of Illinois at Urbana-Champaign, completed. Prior to that, she earned a Master of Arts degree in Psychology from the New School for Social Research in New York City. Her academic journey began at McGill University in Montreal, where she graduated with honors in Psychology . Her educational foundation is deeply rooted in psychological theory and research, forming the basis for her extensive academic and clinical career.

💼 Experience

Dr. Katz has served as a Research Professor in the Department of Psychology at the University of Washington , where she specializes in Child Clinical Psychology and Developmental Psychology. She is also the Associate Director of the Center for Child and Family Well-Being and directs the university’s Master of Arts program in Applied Child and Adolescent Psychology with a focus on prevention and treatment. Her teaching portfolio includes advanced courses such as Research Methods in Child Clinical Psychology, Seminar in Child Clinical Psychology, Core Concepts in Affective Science, and Social and Emotional Development in Children. In addition to her academic work, Dr. Katz has maintained an active clinical practice , offering services such as parental access evaluations, family therapy, and neuropsychological assessments. , she has conducted evaluations for custody disputes and provided expert witness testimony. Her clinical training includes a comprehensive internship at the University of Washington’s Department of Psychiatry and Behavioral

🛠️ Contributions

Dr. Lynn Fainsilber Katz has significantly advanced understanding of child emotional development, parenting, and family dynamics in high-risk populations. Her research on emotion coaching and parent training interventions has improved outcomes for children with behavioral disorders. She has made important contributions to studies on pediatric cancer, intimate partner violence, and antisocial behavior development. Through her clinical work and academic leadership, she bridges science and practice to support child and family well-being.

📡 Research Projects 

Dr. Lynn Fainsilber Katz has led and contributed to numerous research projects funded by prestigious institutions such as the National Institute of Mental Health and the National Cancer Institute. Her ongoing work includes developing parent training and emotion coaching interventions for children with oppositional defiant disorder. She has investigated emotion regulation and stress response in pediatric cancer survivors and maltreated toddlers. Her long-term studies explore the development of antisocial behavior from early childhood and the impact of family conflict, parenting, and marital violence on children’s emotional well-being.

🔬 Research Focus

Dr. Katz’s research centers on child development, family dynamics, emotion regulation, and the psychological effects of trauma and conflict. She has been the Principal Investigator on numerous prestigious grants, primarily funded by the National Institute of Mental Health (NIMH) and the National Cancer Institute. Her current research includes developing parent training and emotion coaching interventions for children with oppositional defiant disorder and low prosocial emotions. She has also investigated family conflict in families facing pediatric cancer, the impact of intimate partner violence on parenting, and stress reactivity in maltreated toddlers. Her long-term research includes over two decades of work on the continuity and change of antisocial behavior from preschool to middle childhood, as well as studies on adolescent depression, marital conflict, and their impacts on children’s emotional and behavioral outcomes.

📘 Publications

Parental Meta‑Emotion Philosophy: A Review of Research and Theoretical Framework

👨‍🔬 Authors: Lynn Fainsilber Katz, Ashley C. Maliken, Nicole M. Stettler
📘 Journal: Child Development Perspectives
📅 Year: 2012
📌 Overview: This review synthesizes research on parental meta-emotion philosophy and presents a theoretical model highlighting its role in child emotion regulation and adjustment.

Domestic Violence, Emotion Coaching, and Child Adjustment

👨‍🔬 Authors: Lynn Fainsilber Katz, Bess Windecker‑Nelson
📘 Journal: Journal of Family Psychology
📅 Year: 2006
📌 Overview: The study explores how maternal emotion coaching can buffer children from negative outcomes associated with exposure to domestic violence.

Parental Meta‑Emotion Philosophy in Families with Conduct‑Problem Children: Links with Peer Relations

👨‍🔬 Authors: Lynn Fainsilber Katz, Bess Windecker‑Nelson
📘 Journal: Journal of Abnormal Child Psychology
📅 Year: 2004
📌 Overview: Investigates how variations in parental emotional awareness and coaching affect peer relationships in children with conduct problems.

Parental Emotion Coaching and Child Emotion Regulation as Protective Factors for Children with Oppositional Defiant Disorder

👨‍🔬 Authors: Lynn Fainsilber Katz, et al.
📘 Journal: Social Cognitive and Affective Neuroscience (PubMed indexed)
📅 Year: ~2013–2014
📌 Overview: Demonstrates how parental emotion coaching improves emotion regulation and reduces behavioral issues in children diagnosed with oppositional defiant disorder.

Parental Emotion Socialization in Clinically Depressed Adolescents: Enhancing, and Dampening Positive Affect

👨‍🔬 Authors: Lynn Fainsilber Katz, Joann Wu Shortt, Nicholas B. Allen, Betsy Davis, Erin Hunter, Craig Leve, Lisa Sheeber
📘 Journal: Journal of Abnormal Child Psychology
📅 Year: 2014
📌 Overview: Examines parental responses to adolescent positive affect in families with clinical depression, highlighting patterns of emotional dampening and enhancement.

Prof. Christos Bouras | Material Science | Best Researcher Award

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Prof Christos Bouras | Material Science | Best Researcher Award 

Christos Bouras is a Professor in the Department of Computer Engineering and Informatics and currently serves as the Rector of the University of Patras. He holds a Diploma and PhD in Computer Engineering and Informatics from the University of Patras. His research focuses on 5G and beyond networks, network performance, telematics, wireless communications, and e-learning technologies. He has extensive academic and administrative experience, including leadership roles in national research institutes and university governance. He is also an Honorary Professor at Singuan Agriculture University in China and a member of IEEE and ACM.

Prof. Christos Bouras,  University of Patras, Greece

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🎓 Education

Professor Christos Bouras holds both his undergraduate and doctoral degrees from the University of Patras in Greece. He earned his Diploma in Computer Engineering and Informatics from the School of Engineering, Department of Computer Engineering and Informatics. He continued his academic journey at the same institution, completing his PhD in Computer Engineering and Informatics . His education laid a strong foundation in advanced computing and networking systems, which became the cornerstone of his academic and research career.

💼 Experience

Professor Bouras has had a distinguished career at the University of Patras and beyond. He began his professional journer as an Associate Researcher at the Computer Technology Institute (CTI). Concurrently, he was an Associate Researcher at the University of Patras. he also worked as an Associate Researcher at the Biomedical Institute.  He led the Telematics and New Services division at EXPERTNET Ltd. He later served as Supervisor of Research Unit 1 at CTI. He has been the Scientific Supervisor of Research Unit 6 at CTI and Press “Diophantus.” He was Director of the Networking Technology Sector at CTI  and a member of its Board of Directors. Within the University of Patras, Professor Bouras has held multiple leadership roles.He was Director of Postgraduate Studies in the Department of Computer Engineering and Informatics. He served on the Research Committe and was its Vice President he was Vice Rector responsible for Economic Planning and Project Implementation and simultaneously held the position of Vice President of the University’s Property Management Company. He also served as CEO of the same company.He has been serving as the Rector of the University of Patras and President of its Property Utilization and Management Company.

🛠️ Contributions

Professor Christos Bouras has contributed extensively to the advancement of 5G and next-generation wireless networks, particularly in areas such as network performance analysis, dynamic resource allocation, and DUDe (Downlink/Uplink Decoupling) techniques. He has played a pivotal role in integrating telematics and e-learning technologies to improve digital education systems. His academic work includes over 400 publications in high-impact journals and conferences, shaping the future of internet architectures and communication protocols. As a university leader and international collaborator, he has also contributed to the global discourse on smart infrastructure and digital transformation.

📡 Research Projects 

Professor Christos Bouras has led and participated in numerous national and EU-funded research projects, particularly in Horizon and FP7 programs. His projects include work on 5G-PPP initiatives focusing on ultra-reliable and low-latency communication, network slicing, and mmWave technologies. He has also coordinated projects on smart cities and e-learning platforms, such as “WiCCES” (Wireless Infrastructure for Smart Campuses) and “ODISEE” (Open Distributed Intelligent Systems for E-learning Environments). His research consistently bridges academic innovation and real-world telecom and education applications

🔬 Research Focus

Professor Bouras’s research spans a wide range of topics in computer science and engineering. His primary interests include 5G and beyond networks, performance analysis of networking and computer systems, and mobile and wireless communications. He is also deeply involved in research on telematics and the development of new network services, quality of service (QoS) provisioning and pricing in modern communication networks, e-learning platforms, and networked virtual environments. Additionally, he explores technical and social aspects of the World Wide Web, with a focus on how networking technologies impact society and education.

📘 Publications

Pearson Coefficient Enhanced Multi-Branch Joint Attention Network and Adaptive Decomposition Based Dual Adaptive Fault Diagnosis Scheme for Rolling Bearing

👨‍🔬 Authors: Dongfang Zhao, et al.
📘 Journal: Signal, Image and Video Processing
📅 Year: 2025
📌 Overview: This paper presents a novel dual adaptive fault diagnosis framework leveraging Pearson correlation coefficients and a joint attention mechanism, significantly improving the accuracy of bearing fault detection under complex conditions.
📊🧠🛠️

Multiscale Attention Feature Fusion Network for Rolling Bearing Fault Diagnosis Under Variable Speed Conditions

👨‍🔬 Authors: Dongfang Zhao, et al.
📘 Journal: Signal, Image and Video Processing

📅 Year: 2024
📌 Overview: This study introduces a multiscale attention-based deep learning model that enhances feature fusion and generalization in rolling bearing fault diagnosis, particularly effective under varying speed scenarios.
⚙️🔍📉

Dr Dongfang Zhao | Electrical Properties of Materials | Best Innovator Award

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Dr Dongfang Zhao | Electrical Properties of Materials | Best Innovator Award

Dr. Dongfang Zhao is a dedicated researcher and lecturer at Shanghai Polytechnic University, specializing in artificial intelligence and mechanical fault diagnosis. Since 2014, he has advanced the frontiers of intelligent systems in industrial diagnostics. After completing his Ph.D. at Shanghai University in 2021, he pursued postdoctoral research at the Control Science and Engineering Research Station. Recognized nationally for his outstanding doctoral dissertation, Dr. Zhao continues to drive innovation in AI-enhanced fault detection. He has published 20+ SCI/EI-indexed papers, earning ~500 citations, and contributes significantly to academic and practical advancements. 📚🤖🔧

Dr Dongfang Zhao, Shanghai Polytechnic University, China

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🎓 Education

Dr. Zhao earned his Ph.D. in Measurement, Control, and Instrumentation from Shanghai University in 2021, where his dissertation was nominated for a national excellence award. He built his foundation in engineering and research through a series of rigorous academic training steps. Following graduation, he immediately joined a prestigious postdoctoral program in Control Science and Engineering. His academic path reflects a commitment to merging theoretical depth with applied innovation in intelligent diagnostics and control systems. 📖🎓🔍

💼 Experience

Currently serving as a lecturer and master’s supervisor at Shanghai Polytechnic University, Dr. Zhao is actively engaged in research and teaching. He completed a postdoctoral fellowship at the Control Science and Engineering Research Station of Shanghai University. Professionally, he has collaborated on several government and industrial research projects, including two National Natural Science Foundation of China initiatives and AI-enabled fault analysis programs. His diverse academic and industry-facing experiences reflect a holistic career in intelligent systems and real-world fault mitigation. 🏫🧪⚙️

🛠️ Contributions

Dr. Dongfang Zhao has developed three advanced AI models tailored to tackle diverse industrial diagnostic challenges. DRANet enhances fault detection accuracy under strong noise 💥, while DBANet ensures precise diagnosis under variable rotational speeds 🔄 using extreme multi-scale entropy. Furthermore, SCANet excels in unlabeled diagnostic scenarios 🚫🏷️, reducing domain confusion and boosting generalization 🌐. These innovations significantly advance smart maintenance, ensuring reliability, adaptability, and intelligence in complex mechanical systems—paving the way for next-generation predictive diagnostics in Industry 4.0 🔧🌍.

📡 Research Projects 

Dr. Dongfang Zhao has led five significant research projects, including a prestigious Super Postdoctoral Incentive Program project in Shanghai, an AI-enabled initiative from the Shanghai Education Commission, and two provincial/ministerial key lab open funds. He also directed a school-level youth innovation project at Shanghai Polytechnic University. Additionally, as a technical backbone, he has contributed to two National Natural Science Foundation of China projects, a Shanghai Science & Agriculture program, and a classified aerospace project. These engagements demonstrate his leadership in AI-driven diagnostics and interdisciplinary collaboration across academia and high-impact industries. 🚀🧠📡🔍💼

🔬 Research Focus

Dr. Zhao’s research revolves around AI-based fault diagnosis for mechanical systems, particularly in complex and noisy environments. His work spans domain adaptation networks (DRANet, DBANet, SCANet) and advanced entropy-based methods for speed-invariant diagnostics. He develops frameworks that increase system robustness, generalization, and diagnostic precision under non-ideal conditions. This includes intelligent modeling for unlabeled or variable-speed environments—challenges typical in modern industrial systems. His research directly supports smart manufacturing, predictive maintenance, and Industry 4.0 frameworks. 🧠📡🔩

📘 Publications

Pearson Coefficient Enhanced Multi-Branch Joint Attention Network and Adaptive Decomposition Based Dual Adaptive Fault Diagnosis Scheme for Rolling Bearing

👨‍🔬 Authors: Dongfang Zhao, et al.
📘 Journal: Signal, Image and Video Processing
📅 Year: 2025
📌 Overview: This paper presents a novel dual adaptive fault diagnosis framework leveraging Pearson correlation coefficients and a joint attention mechanism, significantly improving the accuracy of bearing fault detection under complex conditions.
📊🧠🛠️

Multiscale Attention Feature Fusion Network for Rolling Bearing Fault Diagnosis Under Variable Speed Conditions

👨‍🔬 Authors: Dongfang Zhao, et al.
📘 Journal: Signal, Image and Video Processing

📅 Year: 2024
📌 Overview: This study introduces a multiscale attention-based deep learning model that enhances feature fusion and generalization in rolling bearing fault diagnosis, particularly effective under varying speed scenarios.
⚙️🔍📉

Mr Ankur Aggarwal | Materials Characterization Techniques | Best Researcher Award

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Mr Ankur Aggarwal | Materials Characterization Techniques | Best Researcher Award

Mr. Ankur Aggarwal 🧑‍🔬 is a dedicated research scholar at Banaras Hindu University (BHU) 🏛️, specializing in Dairy Science & Food Technology 🥛. With B.Tech and M.Tech degrees in Dairy Technology and Chemistry from NDRI, Karnal 📘, he is UGC-NET (JRF), CSIR-JRF, ICAR-SRF, and ASRB-NET qualified. His research focuses on functional dairy products, metabolomics, and value-added foods 🌾. A recipient of several Best Oral Presentation Awards 🥇 and an active reviewer in top journals, he combines innovation with impact in food research. His work contributes to nutrition enhancement, sustainability, and public health 🍽️💡.

Mr Ankur Aggarwal, Banaras Hindu University, India

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🎓 Education 

Mr. Aggarwal completed his B.Tech in Dairy Technology 🎓 and M.Tech in Dairy Chemistry 🧪 from the National Dairy Research Institute (NDRI), Karnal. Currently, he is pursuing his Ph.D. at Banaras Hindu University (BHU) 🏫 in the Department of Dairy Science and Food Technology. He has qualified several national-level competitive exams including UGC-NET with JRF, CSIR-JRF, ICAR-SRF, and ASRB-NET 📚✅. His academic journey reflects a strong foundation in dairy technology, food chemistry, and scientific research, preparing him well for advanced interdisciplinary work in food science and nutrition 🥛🔬.

💼 Experience 

Mr. Ankur Aggarwal has extensive experience in experimental research, focusing on the development of functional foods using millets, flaxseeds, black wheat, and probiotics 🌾🧫. He has published in high-impact journals, participated in multiple national/international conferences, and delivered award-winning presentations 🏆. He’s skilled in HR-MS, HPLC, GC-MS, FTIR, and electrophoresis techniques, with knowledge of food safety protocols (FSSAI) and product development 🧪🍶. He also serves as a peer reviewer for reputed journals like Food Control and Food Research International, reflecting his engagement in the wider scientific community 🌍📖.

🏆 Award

Mr. Ankur Aggarwal has earned multiple prestigious awards for his impactful oral and poster presentations at national and international conferences 🌐. His research covers eco-friendly synthesis, millet-based functional foods, probiotic dairy innovations, and shelf-life enhancement of traditional snacks 🥛🌾🧄. He secured 1st position at conferences like IEEC-BHU, AAVASILES, and AMIFOST, and won Best Oral/Poster Presentation Awards 🥇🥈🥉 at ASHAA, Agro-tech, and Amity University events. His recognized works reflect scientific rigor, food innovation, and dedication to sustainable nutrition and agri-food technology 🍽️🔬🌍—marking him as a leading young voice in food science research.

🔬 Research Focus 

Mr. Aggarwal’s research is centered on nutraceutical and functional dairy innovations 🥛✨. He works on fermented dairy products, probiotic formulations, and plant-based food enhancements using millets, flaxseeds, and black wheat 🌾🧪. His studies employ metabolomics, mass spectrometry, and protein characterization to analyze health benefits, bioavailability, and shelf-life improvement. He aims to create sustainable, health-promoting foods by integrating traditional ingredients with modern food processing tools. His work aligns with global nutrition goals, addressing challenges in malnutrition, lifestyle disorders, and eco-friendly packaging solutions 🧬🥗🌍.

📚 Publications

Metabolomics and Microscopic Profiling of Flaxseed Meal-Incorporated Peda

Authors: S. Maurya, T. Verma, A. Aggarwal, M.K. Singh, A.D. Tripathi, A. Trivedi
Journal: Food Chemistry: Molecular Sciences

Exploring the Probiotic and Prebiotic Dynamics of Cheese: An Updated Review

Authors: A. Aggarwal, A. Parmar, S.P. Panigrahi, T. Verma, P. Dhyano, S.L. Bajya, et al.
Journal: Annals of Phytomedicine

Preservation Approaches for Milk and Milk Products: A Review

Authors: T. Verma, A. Aggarwal, A.D. Tripathi, D.C. Rai, S. Jaspal
Journal: Indian Journal of Dairy Science

Formulation and Quality Attributes of Nutrient-Enriched Black Wheat Rusks

Authors: R. Devpal, T. Verma, A. Aggarwal, R. Sharma
Journal: Journal of Cereal Science

Development of Herbal Ice Cream Parameters Using Response Surface Methodology and Its Storage Studies

Authors: S. Shakya, A. Aggarwal, D.C. Rai, T. Verma, K. Nagar, A. Singh, B. Singh
Journal: Journal of Stored Products Research

Optimization of Soya-Enriched Burfi by Using Response Surface Methodology and Its Impact on Biochemical Parameters in Albino Rats

Authors: T. Verma, J. Singh, A. Aggarwal
Journal: Food Chemistry Advances

Dr Meng Wang | Interfacial Phenomena | Best Researcher Award

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Dr Meng Wang | Interfacial Phenomena | Best Researcher Award

Dr. Meng Wang is an accomplished researcher and Associate Professor at the School of Information Science and Engineering, Southeast University (Wuxi Campus). He earned his Ph.D. in Electromagnetic Fields and Microwave Technology from Southeast University and previously worked as a Senior Engineer at Huawei Technologies. His research focuses on spoof surface plasmon polaritons (SSPPs), leaky-wave antennas, and metamaterials for next-gen communication systems 📡. With 28 SCI papers, 9 patents, and multiple awards including the Huawei Director’s Award, Dr. Wang combines innovation, academic excellence, and industrial collaboration 🌐📘🏆, making him a standout in the field of antenna and wave engineering.

Dr Meng Wang, Southeast University, Wuxi campus, China

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🎓 Education

Dr. Meng Wang completed his academic journey with distinction in the field of engineering and communications. He earned his Doctor of Engineering in Electromagnetic Fields and Microwave Technology from Southeast University, Nanjing (2015–2021), one of China’s top-tier research universities 🏫📡. Prior to that, he obtained his Bachelor of Engineering in Communication Engineering from Nanjing University of Science & Technology (2011–2015), where he developed a strong foundation in wireless systems and signal transmission 📶💡. His educational background reflects a consistent focus on advanced electromagnetic theory and its real-world applications, forming the bedrock for his current innovations in antenna technologies 📘⚙️.

🏫 Experience

Dr. Meng Wang brings a blend of academic and industry experience to the field of electromagnetic and microwave engineering. Since September 2022, he has served as an Associate Professor at the School of Information Science and Engineering, Southeast University (Wuxi Campus), where he leads cutting-edge research on SSPPs, antennas, and metasurfaces 📡. Prior to this, he worked at Huawei Technologies Co., Ltd. as a Senior Engineer A (March 2021–August 2022), contributing to innovative wireless technologies for commercial applications 📶. His dual experience empowers him to bridge theoretical advancements with real-world deployment across academic and industrial platforms 🔧🏫.

🥇 Research Highlights & Honors 

Dr. Meng Wang has made significant contributions in spoof surface plasmon polaritons, leaky-wave antennas, and tunable microwave systems. 🛰️ As first author, he has published 16 journal papers, including 8 in IEEE Transactions (CAS Zone 1). 📝 He holds 9 invention patents (5 granted) and leads 7 research projects funded by top institutions like NSFC and Huawei. 🏗️ His honors include the Best Paper Award (ICMMT), Metamaterials Academic Newcomer Award, and Huawei Outstanding New Employee Award 🥇. He actively serves as a Guest Editor, Session Chair, and Keynote Speaker at international conferences 🌍, showcasing leadership in wave engineering and communication innovation. 🚀

📶 Patents

Dr. Meng Wang’s intellectual contributions to advanced antenna technologies are reflected in nine cutting-edge Chinese patents, blending theoretical breakthroughs with practical innovation. His patents cover spoof surface plasmon polariton (SSPP) filters, leaky-wave antennas, beam-scanning methods, and polarization reconfigurable arrays—all crucial to next-gen wireless and mm-wave communication systems 📶. As first inventor on four patents, including dielectric rod antennas, active antenna systems, and whip antennas, Dr. Wang demonstrates leadership in compact, high-efficiency antenna design 🎯. These inventions enhance communication device performance across 5G, IoT, and satellite systems, showcasing his excellence in translational research and tech innovation 🔬🚀📈.

📘 Research Contributions 

As first author, Dr. Meng Wang has published 16 journal articles, including 8 in IEEE Transactions, and 2 as corresponding author. He holds 5 granted patents (with 4 pending) and leads 7 competitive research projects, notably with NSFC and Huawei. His excellence is recognized with awards such as the ICMMT Best Paper Award, National Doctoral Scholarship, and Huawei’s Outstanding New Employee Award (2021) 🏆. He serves as Guest Editor for Micromachines 📰, Session Chair at major IEEE events 🎤, and Invited Speaker at top-tier conferences, including CMMC and APCAP, showcasing leadership in microwave and antenna innovation.

🔬 Research Focus 

Dr. Meng Wang’s research is rooted in the development and application of advanced electromagnetic technologies, particularly in spoof surface plasmonic metamaterials, leaky-wave antennas, and array antennas. His work pioneers the use of metasurfaces and plasmonic structures to manipulate electromagnetic waves across microwave and millimeter-wave spectra ⚡. He designs ultrawideband filters, beam-scanning systems, and reconfigurable antenna arrays, enabling breakthroughs in next-generation wireless communication, 5G/6G, and THz technologies 📶. His interdisciplinary approach bridges fundamental theory and real-world application, making significant contributions to compact, high-performance devices for modern telecommunication systems 🌐📶📊.

📚 Publications

A Dual-Mode UWB Antenna for Pattern Diversity Application

Authors: J.F. Liu, W. Tang, M. Wang, H.C. Zhang, H.F. Ma, X. Fu, T.J. Cui
Journal: IEEE Transactions on Antennas and Propagation, 2020

Broadside Radiation from Chern Photonic Topological Insulators

Authors: Z. Xu, M. Wang, S. Fang, H. Liu, Z. Wang, D.F. Sievenpiper
Journal: IEEE Transactions on Antennas and Propagation, 2021

Spoof Surface Plasmonics: Principle, Design, and Applications

Authors: Z.W. Cheng, M. Wang, Z.H. You, H.F. Ma, T.J. Cui
Journal: Journal of Physics: Condensed Matter, 2022

A Compact Axial-Mode Helical Antenna Based on Spoof Surface Plasmon Polaritons

Authors: Z.W. Cheng, J. Deng, M. Wang, J.R. Chen, S. Wang, S. Luan, X. Liu, F. Gao
Journal: IEEE Transactions on Antennas and Propagation, 2023

Glide Symmetry for Mode Control and Suppression of Coupling in Dual-Strip SSPP Lines

Authors: X.T. Yan, W. Tang, J.F. Liu, M. Wang, X.X. Gao, T.J. Cui
Journal: Advanced Photonics, 2021

Babinet-Duality-Engineered Lightweight Spoof Surface Plasmonic Leaky-Wave Antenna

Authors: M. Wang et al.
Journal: AEU – International Journal of Electronics and Communications, 2025

Stable and Continuous Dual-Band Leaky Wave Radiation Based on SSPPs and Mode Modulation

Authors: M. Wang et al.
Journal: IEEE Transactions on Antennas and Propagation, 2025

A High-Sensitive Cavity Sensor Antenna With Interference Suppression Based on Spoof Localized Surface Plasmons

Authors: M. Wang et al.
Journal: IEEE Transactions on Instrumentation and Measurement, 2025

Prof. Dr Suhaiza Zailani | New Energy Materials | Best Researcher Award

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Prof. Dr Suhaiza Zailani | New Energy Materials | Best Researcher Award

Prof. Dr. Suhaiza Zailani is a renowned expert in Supply Chain Management (SCM), specializing in sustainability and halal logistics. She holds a Ph.D. in Management Science and MSc in Operational Research from Lancaster University 🇬🇧. A Professor at the University of Malaya 🇲🇾, she has published over 200+ papers, achieving an H-index of 63 📊. She has led the UM Entrepreneurship Center and currently directs the Ungku Aziz Center, promoting societal impact 🤝🌍. Recognized with global honors 🏅, including Top UM Researcher, Prof. Suhaiza is a leader in academic excellence, innovation, and community development 💡📘.

Prof. Dr Suhaiza Zailani, University of malaya, Malaysia

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🎓 Education 

Prof. Dr. Suhaiza Zailani holds a distinguished academic foundation with a Ph.D. in Management Science 🎓 and a Master’s in Operational Research 📈, both from the renowned Lancaster University, United Kingdom 🇬🇧. She began her academic journey with a Bachelor’s degree in Agribusiness 🌾 from Universiti Pertanian Malaysia 🇲🇾. Her multidisciplinary education bridges business strategy, analytics, and agricultural economics, providing the intellectual depth necessary for her groundbreaking work in sustainable supply chain management, halal logistics, and green innovation 🔄♻️. Her global academic exposure enhances her ability to drive impactful, cross-border research and policy contributions.

🏛️ Experience 

Prof. Dr. Suhaiza Zailani has been serving as a Professor of Operations at the University of Malaya, Kuala Lumpur 🇲🇾, since January 2013. With over a decade of experience at Malaysia’s premier university, she has led groundbreaking research in supply chain management, sustainability, and Islamic logistics 📦🌱📘. Her roles have extended beyond academia, including leadership as the Director of UM Entrepreneurship Centre (UMEC) and advisory contributions to national policy and industry reform. Her work bridges theory and practice, earning her widespread recognition as a thought leader in sustainable and ethical business innovation. 🧠🏅🌍

🏅 Honors and Global Impact

Prof. Dr. Suhaiza Zailani has received numerous prestigious accolades for her pioneering contributions to sustainability, halal logistics, and green innovation. 🏅 Her recognitions include the Malaysia Scopus Research Excellence Award (2024) 🧪, Top Research Scientists Malaysia 🧠, Editor’s Choice Award by Elsevier ✍️, and being named among the World’s Top 2% Scientists 🌐. She has earned multiple gold, silver, and bronze innovation medals 🥇🥈🥉 for transformative models in logistics and circular supply chains. Her academic excellence is matched by her real-world influence, policy advisory roles, and thought leadership in sustainability and entrepreneurship 💼🌱.

📖 Books

Prof. Dr. Suhaiza Zailani has authored and co-authored over 15 influential books and chapters, covering a wide spectrum of themes including green supply chain management 🌍, halal logistics 🕌, solid waste management ♻️, corporate social responsibility 💼, and lean operations optimization 🏭. Her latest works like “Shifting from Green to Sustainable to Circular in Supply Chains” exemplify her dedication to regenerative economy models 🔄. These publications are not only foundational in academia but also serve as practical references for industry, contributing to global discourse on resilient, ethical, and circular business practices 🌐.

🕌 Research Project

Prof. Dr. Suhaiza Zailani has led and co-led over 40 national and international research projects across diverse sectors including poverty eradication 🧺, sustainable supply chains 🔄, halal logistics 🕌📦, circular economy ♻️, energy transformation ⚡, and urban entrepreneurship 🏙️📈. As Principal Investigator for impactful grants like BMTKM and Eco-Circular Framework, and as a collaborator on FRGS and MOHE-funded studies, she combines academic excellence with real-world application. Her research empowers policy design, environmental innovation, and inclusive economic development, demonstrating a strong commitment to Malaysia’s sustainable future and global academic leadership. 🌟📚🇲🇾

🌱 Innovation & Patent Contributions 

Prof. Dr. Suhaiza Zailani has made significant strides in innovation with multiple university and national-level patents focusing on sustainable and halal-centric supply chains. Her patented works include the Halal Squad initiative 🕌, Halal Food Supply Chain Integrity Cumulative Capability (HFSCI-CC) Model, and the Toolkit for Halal Orientation Strategy for food firms 🍛. She also developed the Green Innovation Toolkit (GIT) 🌱 to support SMEs, and tools like the Strategic REVSV Model 🔄 for reverse logistics and Returns Management Process Models 📦. These innovations bridge academic research and industry needs, enhancing practical sustainability and operational integrity.

🔍 Research Focus 

Prof. Dr. Suhaiza Zailani’s research encompasses sustainable supply chains, green innovation, climate-smart agriculture, and industry 4.0 impacts 🌱🏭. She explores transformational topics such as blockchain and crowdfunding 🔗💰, net energy metering (NEM) ☀️⚡, and circular carbon economy 🔄🌍. Her recent works analyze innovation capabilities in Southeast Asia, sustainable agropolitan planning, and the post-pandemic manufacturing landscape. With a strategic blend of data analytics, policy evaluation, and hybrid research methodologies, she contributes actionable insights to both academia and industry. Her studies drive forward global sustainability goals and promote technological adoption in developing economies 🌐📊💡.

📚 Publications 

Factors influencing households’ willingness to continue as a net energy metering (NEM) prosumer in Malaysia
Journal: Sustainable Futures, 2025
Authors: Suhaiza Zailani, et al.
📘 Focus: Renewable energy, household sustainability, energy policy.

Analyzing innovation capability: a case study of Timor Leste Business School and Indonesia Business School
Journal: Higher Education Skills and Work Based Learning, 2025
Authors: Suhaiza Zailani, et al.
📘 Focus: Innovation, higher education, institutional performance.

Exploring Determinants of and Barriers to Climate-Smart Agricultural Technologies Adoption in Chinese Cooperatives: A Hybrid Study
Journal: Agriculture Switzerland, 2025
Authors: Suhaiza Zailani, et al.
📘 Focus: Agricultural technology, climate change adaptation.

Impact of Industry 4.0 on sustainability of Malaysia’s manufacturing industry in post-COVID era
Journal: Foresight, 2025
Authors: Suhaiza Zailani, et al.
📘 Focus: Industry 4.0, post-pandemic recovery, sustainability.

Navigating the landscape of public–private partnership research: a novel review using latent Dirichlet allocation
Journal: [Open Access Journal, name not shown], 2025
Authors: Suhaiza Zailani, et al.
📘 Focus: PPPs, research analytics, policy review.

Factors Influencing Circular Carbon Economy Readiness Among Heavy Industries in China
Journal: Sustainability Switzerland, 2025
Authors: Suhaiza Zailani, et al.
📘 Focus: Circular economy, industry readiness, climate action.

 Agropolitan Planning as a Strategy for Promoting Sustainable Living Among Rural Poor Communities: Empirical Evidence
Journal: Planning Malaysia, 2025
Authors: Suhaiza Zailani, et al.
📘 Focus: Rural development, urban planning, poverty alleviation.

Capabilities and Resources for Value Creation and Sustainable Competitive Advantage: A Study of the Chinese Video Game Industry
Journal: Sustainability Switzerland, 2025
Authors: Suhaiza Zailani, et al.
📘 Focus: Competitive strategy, entertainment industry, sustainability.

The Antecedents of the Willingness to Adopt and Pay for Climate-Smart Agricultural Technology Among Cooperatives in China
Journal: Sustainability Switzerland, 2025
Authors: Suhaiza Zailani, et al.
📘 Focus: Green technology, cooperative behavior, agriculture.

Dr Benyang Li | Interfacial Phenomena | Best Researcher Award

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Dr Benyang Li | Interfacial Phenomena | Best Researcher Award

Dr. Benyang Li is a rising scholar pursuing a Ph.D. in Public Health and Preventive Medicine at Xiangya School of Public Health, Central South University 🎓. With a background in Food Science and Engineering 🥗 from Hunan Agricultural University and Jishou University, his research centers on functional food delivery systems, probiotic encapsulation, and bioactive compound stability 💊🦠. He has led provincial projects, earned top scholarships 🏅, and published in SCI-indexed journals. Proficient in advanced analytical techniques like CLSM and XRD 🔍, Dr. Li bridges nutrition and health through innovation in bioprocessing and food bioavailability 🌿🧪.

Dr benyang Li, Xiangya School of Public Health, Central South University, China

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🎓 Education 

Dr. Benyang Li has cultivated a strong academic foundation through a progressive education in public health and food science. He is currently pursuing his Doctorate in Public Health and Preventive Medicine 🩺 at Central South University (Jul 2025, expected). He previously earned his Master’s degree in Food Science and Engineering 🥼🍵 from Hunan Agricultural University (2022–2025) and completed his Bachelor’s degree in the same field from Jishou University (2018–2022). This educational journey reflects his commitment to integrating nutrition, biotechnology, and health sciences to improve food systems and public wellness. 📘🧪🧠

👨‍🏫 Experience 

Dr. Benyang Li has contributed significantly to major research projects in functional food systems. As a core member of a Hunan Provincial Natural Science Foundation project (2024–ongoing), he led literature reviews, experimental design, and lab work on probiotic encapsulation using low-boiling-point solvents 🦠🌡️. He also served as the main project leader for a key provincial project (2022–2024) on the bioconversion of tea seed oil and proteins 🍵💧, optimizing enzymatic hydrolysis for higher peptide yield. Dr. Li demonstrated leadership by mentoring undergraduates and applying tools like SPSS and Origin for advanced data analysis and visualization 📊👨‍🏫.

🏆 Awards and Honors 

Throughout his postgraduate studies, Dr. Benyang Li has been recognized for his academic excellence and research potential. He was awarded the prestigious National Scholarship 🏅 and the Academic Scholarship 📖 for his outstanding performance. His dedication and achievements also earned him the Outstanding Graduate Award from both Hunan Agricultural University and the Hunan Provincial Government 🥇🏛️. These accolades highlight his commitment to academic rigor, leadership in scientific inquiry, and his role as a model scholar in the field of food science and public health research 🧪🍱🌿.

💻 Skills 

Dr. Benyang Li possesses strong technical expertise in advanced analytical instrumentation, including HPLC, rotational rheometers, laser and nanoparticle size analyzers, XRD, DSC, polarizing microscopes, and laser confocal microscopy 🧫🧲. He is proficient in Caco-2 cell monolayer culture for studying bioavailability and transport mechanisms in functional foods 🧬🦠. Additionally, he demonstrates excellent digital skills, being adept at Microsoft Office tools and highly capable with Origin software for data visualization and scientific plotting 📊💡. These skills enable him to perform high-precision, multidisciplinary research in food chemistry, bioprocess engineering, and public health nutrition 🌱🧉.

🌿 Research Focus 

Dr. Benyang Li’s research focuses on enhancing the bioaccessibility of bioactive compounds in food systems, particularly through innovative delivery strategies like water-in-oil (W/O) emulsions 🌊🛢️. His recent work explores oil phase gelation using octacosanol to stabilize emulsions and improve the bioavailability of oleanolic acid, a potent functional ingredient with health benefits 🌿💊. By integrating concepts from food chemistry, colloid science, and bioprocessing, he aims to create next-generation functional foods and nutraceuticals that are both effective and consumer-friendly 🍽️🧪. His work bridges public health goals with material innovation for better nutrition.

📘 Publication 

An effective strategy to improve the bioaccessibility of oleanolic acid in self-constructed water-in-oil emulsions: oil phase gelation based on octacosanol

👨‍🔬 Author:  Benyang Li

📚 Journal: LWT – Food Science and Technology, 2025

Assoc. Prof. Dr Zhongnan Wang | Soft Materials | Best Researcher Award

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Assoc. Prof. Dr Zhongnan Wang | Soft Materials | Best Researcher Award

Assoc. Prof. Dr. Zhongnan Wang is a leading researcher in biotribology and nanomaterials, currently based at Beijing Jiaotong University 🇨🇳. He holds dual Ph.D. degrees from the University of Warwick and Harbin Institute of Technology 🎓. His interdisciplinary research focuses on hydrogel nanocomposites, MEMS, superlubricity, and biomedical coatings 🧫🩻. With 3 patents, 50+ SCI publications 📚, and editorial roles in top journals, Dr. Wang is driving innovation in medical devices, sensor tech, and wear-resistant systems 🤖💡. His work bridges advanced mechanics and biomedical applications, making him a pioneer in sustainable and intelligent material design 🌱🔍.

Assoc. Prof. Dr Zhongnan Wang, Beijing Jiaotong University, China

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🎓 Education 

Assoc. Prof. Dr. Zhongnan Wang holds dual Ph.D. degrees in Engineering from the University of Warwick 🇬🇧 (2017) and in Mechatronic Engineering from Harbin Institute of Technology 🇨🇳 (2016), demonstrating a strong international academic foundation. He earned his Master’s degree in Engineering from Harbin Institute of Technology in 2009 and a Bachelor’s degree in Engineering from Northeast Agricultural University in 2006. His interdisciplinary education bridges mechanical systems, automation, and materials science 🧪⚙️🧠, equipping him with robust theoretical knowledge and practical skills to lead innovation in advanced tribology, sensors, and hydrogel materials.

🏫 Experience

Dr. Zhongnan Wang has been serving as an Associate Professor at the School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University since March 2020 🏫⚙️. Prior to this, he was a Postdoctoral Researcher at the prestigious State Key Laboratory of Tribology in Advanced Equipment, Tsinghua University from August 2017 to November 2019 🔬🇨🇳. During his postdoctoral tenure, he focused on cutting-edge tribology, nanomaterials, and bio-inspired lubricating systems 🧪💧. His academic career bridges theory and real-world applications in biomechanics, MEMS, and hydrogel development, making him a strong leader in engineering research 🌟📈.

🏅 Honors 

Assoc. Prof. Dr. Zhongnan Wang has been recognized for his academic excellence and editorial leadership. He currently serves as Associate Editor of the Open Access Journal of Data Science and Artificial Intelligence (2025–present) and Guest Editor for Lubricants (2025–present). He is also an Editorial Board Member for International Journal of Materials Science and Applications (2024–2027) and Materials Science and Technology (2023–2026). Since 2021, he’s served as a Topic Editor for Materials. As an active reviewer for top journals including ACS Applied Materials & Interfaces, Langmuir, and Scientific Reports, Dr. Wang is widely respected in the global research community.

🧪 Patents

Assoc. Prof. Dr. Zhongnan Wang is revolutionizing soft material science through the development of smart composite hydrogels with advanced lubrication and mechanical properties. His patented inventions include a multi-functional hydrogel designed for biomedical and wearable applications (ZL202210451596.1) and a dopamine-modified nanocomposite hydrogel offering enhanced adhesion and resilience (ZL202310234681.7) ⚙️🦾. These hydrogels mimic biological tissue behavior and hold promise for artificial joints, flexible electronics, and bioinspired robotics. His work bridges materials engineering with biomedicine, paving the way for next-generation smart interfaces and soft actuators 🚀🧠🧤.

🔬 Research Focus 

Dr. Zhongnan Wang’s research spans the cutting edge of biotribology, focusing on the mechanical and lubricating properties of hydrogels for biomedical applications 🧬💧. His work in MEMS devices involves developing advanced sensors and actuators for precise mechanical control and detection ⚙️📡. He specializes in micro/nanotribology, investigating friction and wear at the molecular scale 🔍🧲, and employs advanced material characterization techniques to analyze surface interactions and smart coatings. His interdisciplinary studies integrate nanotechnology, soft materials, and biomechanics to create next-generation solutions for artificial joints, robotics, and smart materials 🤖🩻🌟.

📚 Publications

Sensor for a solid–liquid tribological system
Authors: Ruize Zhang, Zeyang Yu, Zhikai Fan, Shanshan Wang, Yihui Xiang, Yanfei Liu*, Zhongnan Wang*
Journal: Sensors, 2025, Vol. 25, Article 437

A bilayer composite hydrogel with simultaneous high load bearing and superior lubrication by dopamine modified nano-hydroxyapatite
Authors: Zhongnan Wang*, Hui Guo, Ji Zhang, Yi Qian, Fanjie Meng, Yueshan Mu
Journal: Surfaces and Interfaces, 2024, Vol. 51, 104680

Two-Dimensional Nanomaterials in Hydrogels and Their Potential Bio-Applications
Authors: Zhongnan Wang, Hui Guo, Ji Zhang, Yi Qian, Yanfei Liu*
Journal: Lubricants, 2024, Vol. 12, Article 149

Electric Potential Controlled Ionic Lubrication
Authors: Zhongnan Wang, Hui Guo, Sudesh Singh, Vahid Adibnia, Hongjiang He, Fang Kang, Ye Yang, Chenxu Liu, Tianyi Han*, Chenhui Zhang
Journal: Lubricants, 2024, Vol. 12, Article 214

Preparation and Properties of Nanocomposite Hydrogel with Dopamine Modification
Authors: Zhongnan Wang*, Hui Guo, Yueshan Mu
Journal: Chinese Journal of Materials Research, 2024, Vol. 38(4), pp. 269–278

Low-Friction Hybrid Hydrogel with Excellent Mechanical Properties for Simulating Articular Cartilage Movement
Authors: Zhongnan Wang*, Fanjie Meng, Yue Zhang, Hui Guo
Journal: Langmuir, 2023, Vol. 39(6), pp. 2368–2379

Tribological Investigation of a Mixed Solution with Superlubricity Achieved
Authors: Fanjie Meng, Zhongnan Wang, Qiuying Chang, Zhiyuan Wang, Jianwen Zhang, Xu Geng
Journal: Journal of Mechanical Engineering, 2022, Vol. 58(11), pp. 210–219